Data inference apparatus, data inference method and non-transitory computer readable medium

Abstract

A data prediction apparatus includes a memory and processing circuitry coupled to the memory configured to (1) receive the target data on which to make inference, (2) extract a neighborhood data group that is a set of data points in supervised data that are similar to the target data, (3) generate a local model by performing local and regularization learning using the neighborhood data group, and (4) make inference on the target data by using the local model.

1 . A data inference apparatus comprising:
 a memory; and   processing circuitry coupled to the memory and configured to:   receive target data on which to make inference,   extract a neighborhood data group that is a set of data points in supervised data that are similar to the target data,   generate a local model by performing local and regularization learning using the neighborhood data group, and   make inference on the target data by using the local model.   
     
     
         2 . The data inference apparatus according to  claim 1 , wherein the processing circuitry outputs result inferred from the target data. 
     
     
         3 . The data inference apparatus according to  claim 1 , wherein the processing circuitry generates initial value from the neighborhood data group before performing learning. 
     
     
         4 . The data inference apparatus according to  claim 3 , wherein the processing circuitry generates the initial value for learning the local model. 
     
     
         5 . The data inference apparatus according to  claim 1 , wherein the processing circuitry performs learning by Bayesian estimation. 
     
     
         6 . A data inference method comprising:
 receiving, by processing circuitry, target data on which to make inference;   extracting, by the processing circuitry, a neighborhood data group that is a set of data points in the supervised data that are similar to the target data;   generating, by the processing circuitry, a local model by performing local and regularization learning using the neighborhood data group;   making, by the processing circuitry, inference on the target data by using the local model.   
     
     
         7 . The data inference method according to  claim 6 , further comprising:
 outputting, by the processing circuitry, result inferred from the target data.   
     
     
         8 . The data inference method according to  claim 6 , wherein generating, by the processing circuitry, initial value from the neighborhood data group before performing learning. 
     
     
         9 . The data inference method according to  claim 8 , wherein generating, by the processing circuitry, the initial value for learning the local model. 
     
     
         10 . The data inference method according to  claim 6 , wherein performing, by the processing circuitry, learning by Bayesian estimation. 
     
     
         11 . A non-transitory computer readable medium storing a computer readable program causing a computer to function as:
 a section that receives target data on which to make inference;   a device that extracts a neighborhood data group that is a set of data points in the supervised data that are similar to the target data;   a section that generates a local model by performing local and regularization learning using the neighborhood data group;   a section that makes inference on the target data by using the local model.   
     
     
         12 . The non-transitory computer readable medium according to  claim 11 , the program further causing the computer to function as:
 a section that outputs result inferred from the target data.   
     
     
         13 . The non-transitory computer readable medium according to  claim 11 , the program further causing the computer to function as:
 a section that generates initial value from the neighborhood data group before performing learning.   
     
     
         14 . The non-transitory computer readable medium according to  claim 13 , the program further causing the computer to function as:
 a section that generates the initial value for learning the local model.   
     
     
         15 . The non-transitory computer readable medium according to  claim 11 , the program further causing the computer to function as:
 a section that performs learning by Bayesian estimation.